How might R, as a data science tool, integrate with the rest of your IT infrastructure?

Within a business, data science typically relies upon the underlying IT infrastructure to access business data and, in some cases, make analytic results broadly accessible. If your organization is interested in data science but has questions about the IT integration, this page is designed to help.

R is free and open-source, as are the thousands of libraries available to expand its functionality. Desktop and server versions of R are available, and a desktop/laptop installation can easily scale up to a server deployment.

R can import directly from a database, as well as importing individual files in a variety of formats. Similarly, it can output results in a variety of modalities. In some cases, you may want results from analyses conducted in R to be outputted to a database as tables that other applications (e.g., Business Intelligence tools) can access and selectively present to users. In other cases, you may want web-based interactive graphs or other tools that directly communicate analytic results to users. R can also output results in the usual file formats (.csv, .xlsx, etc.). And lastly, of course, there are times when a data scientist synthesizes the results and presents high-level findings to key stakeholders via graphs, figures, selective tables, etc. R can export each of these in a variety of formats, as well.

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